Ishaan Kamble
Ai Ml Intern @Mphasis
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WORK HISTORY
Ai Ml Intern @Mphasis
Implemented and evaluated an XGBoost model on historical advisor-to-advisor transfers using 15+ engineered features (advisor utilization, client retention, etc.) to generate top advisor for portfolio along with confidence scoring helping ease portfolio management for client firm- Spearheaded development of a neural network simulation lab integrating a Dockerized Ollama LLM pipeline to generate synthetic graph data, train GNN models, and compute evaluation metrics, achieving ≥89.9% accuracy and enabling data architects to validate pipelines before project deployment- Prepared and presented project reports to management, summarizing technical work, results, and next steps with clarity and professionalism.
EDUCATION
University of Wisconsin-Madison
Computer Science
Waubonsie Valley High School
None, None
ABOUT ISHAAN KAMBLE
Hi! I’m a Computer and Data Science student at the University of Wisconsin–Madison with a strong interest in data science, machine learning, and how technology can be applied in fields like healthcare and finance. I’m drawn to problems that involve data-driven decision-making, pattern recognition, and building systems that can improve efficiency or provide deeper insights.Through my coursework and hands-on experience, I’ve built solid skills in Python, SQL, and data analysis. I’ve worked with tools like pandas, scikit-learn, Tableau, and Streamlit, and have gained experience in areas like model development, data cleaning, and building visualizations. I enjoy diving into complex data and translating it into something meaningful and actionable.I’m always looking to learn more and connect with others who are working in or exploring areas like healthcare tech, financial analytics, or applied machine learning. Feel free to reach out—I’d love to connect and hear what you’re working on. Here are my contacts listed below!i••••••••@[email protected]
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